The interactions among China's economic growth and its energy consumption and emissions during 1978–2007

Zhang, Xiaohong; Zhang, Rong; Wu, Liqian; Deng, Shihuai; Lin, Lili; Yu, Xiaoyu

doi:10.1016/j.ecolind.2012.06.004

Cited by 48 publications

(18 citation statements)

References 82 publications

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“…Meanwhile, there is an increasing number of people who tend to work and live in Beijing due to its better social resources in this period . This rapid growth in economic development has been considered as the hallmark of the Chinese economy, and this is unprecedented (Chen, 2015;Huang et al, 2015;Zhang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Driving forces analysis of energy-related carbon dioxide (CO 2 ) emissions in Beijing: an input–output structural decomposition analysis

Wei

Huang

Yang³

et al. 2017

Journal of Cleaner Production

156

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Section: Introductionmentioning

confidence: 99%

Driving forces analysis of energy-related carbon dioxide (CO 2 ) emissions in Beijing: an input–output structural decomposition analysis

Wei

Huang

Yang³

et al. 2017

Journal of Cleaner Production

156

View full text Add to dashboard Cite

“…The integration of BeijingTianjin-Hebei region has become a major national strategy, defining its function of the area as world-class city group with the core of capital. The gradual expansion of economic scale in Beijing-Tianjin-Hebei region gives impetus to the augmentation of energy consumption and carbon emissions [2,3], which directly lead to low economic benefits, environmental pollution, and other problems [4]. The industrial transition is imperative and the optimization of energy structure is urgent.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Energy‐Related Carbon Emissions in Beijing‐Tianjin‐Hebei Region

Wang

Yufang

Zhao

et al. 2017

Mathematical Problems in Engineering

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Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO 2 /energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

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“…The relationship between energy consumption and carbon emissions varied in different countries because of different national conditions, geographic positions, and energy departments. In China, the positive relationship between energy consumption and carbon emissions has been confirmed in many studies [43][44][45][46][47][48]. Wang et al [43] indicated the existence of a bidirectional positive causality between energy consumption and carbon emissions in the period 1995-2012.…”

Section: Literaturementioning

confidence: 81%

“…Hu et al [46] examined the impact of energy consumption on concomitant air emissions during 2000-2011 and showed that China's energy consumption led to the increasing impact on emissions. In earlier empirical studies by Chang [45], Li et al [48], and Zhang et al [47], the causality between energy consumption and related carbon emissions in the periods of 1981-2006, 1985-2007, and 1978-2007, respectively, and demonstrated that energy consumption and carbon emissions indicated bidirectional causality with a feedback effect.…”

Section: Literaturementioning

confidence: 99%

Analysis of the Relative Price in China’s Energy Market for Reducing the Emissions from Consumption

et al. 2017

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Abstract:As a developing country, extensive carbon and sulfur emissions are associated with China's rapid social and economic development. Chief among them are the emissions from coal and oil consumption. This paper focuses on the demand side, attempting to regulate the range of relative price of oil to coal at the consumption level. Through the adjustment of the relative price, the goal of reducing the emissions of carbon and sulfur could be achieved in the market of energy consumption. Data regression is applied to investigate the functional relationship between emissions and energy prices. The results indicate that when the coal price is less than 300, the higher relative price leads to less carbon and sulfur emissions; when the coal price is more than 300 and less than 500, there exists an optimal relative price which has the least carbon emissions, and this value is not more than 11.5; when the coal price is more than 500, the smaller relative price is beneficial to decline carbon and sulfur emissions. The changed trend of relative price-sulfur emissions is very similar to relative price-carbon emissions. Compared to the present energy situation in China, the relative price of oil to coal still need to be reduced especially when coal price is more than 500.

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The interactions among China's economic growth and its energy consumption and emissions during 1978–2007

Cited by 48 publications

References 82 publications

Driving forces analysis of energy-related carbon dioxide (CO 2 ) emissions in Beijing: an input–output structural decomposition analysis

Driving forces analysis of energy-related carbon dioxide (CO 2 ) emissions in Beijing: an input–output structural decomposition analysis

Factors Affecting Energy‐Related Carbon Emissions in Beijing‐Tianjin‐Hebei Region

Analysis of the Relative Price in China’s Energy Market for Reducing the Emissions from Consumption

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